Triple
T23130492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nzema |
E577152
|
entity |
| Predicate | primaryLanguage |
P238
|
FINISHED |
| Object | Nzema language |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Nzema language | Statement: [Nzema, primaryLanguage, Nzema language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nzema language Context triple: [Nzema, primaryLanguage, Nzema language]
-
A.
Nzema language
chosen
Nzema is a Central Tano (Potou–Tano) Niger-Congo language spoken primarily by the Nzema people of southwestern Ghana and southeastern Côte d’Ivoire.
-
B.
Nyemba language
The Nyemba language is a Bantu language spoken primarily by the Nyemba (Nyaneka-Nkhumbi) people of southwestern Angola.
-
C.
Ngomba language
Ngomba is a Bamileke language spoken in western Cameroon, belonging to the Grassfields branch of the Southern Bantoid languages.
-
D.
Tembe language
The Tembe language is an indigenous Tupi-Guarani language spoken by the Tembé people of northern Brazil.
-
E.
Teke-Ngungwel language
The Teke-Ngungwel language is a Bantu language spoken by the Teke people in Central Africa, particularly in parts of the Republic of the Congo and neighboring regions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e245f7b0e481909c473ff4e6a54e2c |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e87cd188190b466f7a4c9670e56 |
completed | April 29, 2026, 4:52 a.m. |
Created at: April 17, 2026, 4 p.m.